Quant Strategist — High-Impact Pricing & ML

Triumph, LLC

San Francisco (CA)

Sur place

USD 180 000 - 300 000

Plein temps

14 jours+

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Avantages offerts par ce poste

Lunch credit
Healthcare
Vision
Dental
401k

Résumé du poste

Triumph, LLC in San Francisco is seeking a Quant Strategist to join a small, high-output team shaping core business decisions through quantitative rigor. You’ll build models powering pricing engines, payouts, matchmaking, and risk, directly affecting revenue and player experience.

You’ll operate like a trading desk, delivering production-ready results that you can see in the numbers the next day. The role emphasizes ownership, rapid feedback, and collaboration with engineering and leadership.

Qualifications

  • Bachelor's degree in a quantitative field (math, physics, CS, data science, or related).
  • Depth and mastery in probability, statistics, applied ML, CS, or math. We seek top performers in their discipline.
  • Experience working with large amounts of data.

Responsabilités

  • Develop and optimize core risk-taking and revenue-generating algorithms—the pricing engines, payout structures, and edge calculations for Triumph's business.
  • Own the quantitative framework for Rips by Triumph: pricing models, pack economics, and rarity calibration.
  • Design and analyze experiments (A/B tests and beyond) with rigorous statistical methods.
  • Identify high-leverage quantitative problems across the business and drive them from formulation to production impact.
  • Partner with engineering, product, and leadership to translate model outputs into real-time production systems and strategic decisions.
  • Design and build machine learning models that inform acquisition spend and product decisions.

Connaissances

Python
SQL
Data analysis
Statistical modeling

Formation

Bachelor's degree in quantitative subject

Outils

Pandas
NumPy
Scikit-learn

Description du poste

Triumph, LLC in San Francisco is seeking a Quant Strategist to join a small, high-output team shaping core business decisions through quantitative rigor. You’ll build models powering pricing engines, payouts, matchmaking, and risk, directly affecting revenue and player experience.

You’ll operate like a trading desk, delivering production-ready results that you can see in the numbers the next day. The role emphasizes ownership, rapid feedback, and collaboration with engineering and leadership.

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